Global Fraud Detection and Prevention (FDP) Software Market 2020 by Company, Regions, Type and Application, Forecast to 2025

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Market Overview

The global Fraud Detection and Prevention (FDP) Software market size is expected to gain market growth in the forecast period of 2020 to 2025, with a CAGR of xx% in the forecast period of 2020 to 2025 and will expected to reach USD xx million by 2025, from USD xx million in 2019.

The Fraud Detection and Prevention (FDP) Software market report provides a detailed analysis of global market size, regional and country-level market size, segmentation market growth, market share, competitive Landscape, sales analysis, impact of domestic and global market players, value chain optimization, trade regulations, recent developments, opportunities analysis, strategic market growth analysis, product launches, area marketplace expanding, and technological innovations.

Market segmentation

Fraud Detection and Prevention (FDP) Software market is split by Type and by Application. For the period 2015-2025, the growth among segments provide accurate calculations and forecasts for sales by Type and by Application in terms of volume and value. This analysis can help you expand your business by targeting qualified niche markets.

By Type, Fraud Detection and Prevention (FDP) Software market has been segmented into:

Cloud Based

On-Premises

By Application, Fraud Detection and Prevention (FDP) Software has been segmented into:

BFSI

Retail

Telecommunication

Government/Public Sector

Healthcare

Real Estate

Energy and Power

Manufacturing

Others

Regions and Countries Level Analysis

Regional analysis is another highly comprehensive part of the research and analysis study of the global Fraud Detection and Prevention (FDP) Software market presented in the report. This section sheds light on the sales growth of different regional and country-level Fraud Detection and Prevention (FDP) Software markets. For the historical and forecast period 2015 to 2025, it provides detailed and accurate country-wise volume analysis and region-wise market size analysis of the global Fraud Detection and Prevention (FDP) Software market.

The report offers in-depth assessment of the growth and other aspects of the Fraud Detection and Prevention (FDP) Software market in important countries (regions), including:

North America (United States, Canada and Mexico)

Europe (Germany, France, UK, Russia and Italy)

Asia-Pacific (China, Japan, Korea, India, Southeast Asia and Australia)

South America (Brazil, Argentina, Colombia)

Middle East and Africa (Saudi Arabia, UAE, Egypt, Nigeria and South Africa)

Competitive Landscape and Fraud Detection and Prevention (FDP) Software Market Share Analysis

Fraud Detection and Prevention (FDP) Software competitive landscape provides details by vendors, including company overview, company total revenue (financials), market potential, global presence, Fraud Detection and Prevention (FDP) Software sales and revenue generated, market share, price, production sites and facilities, SWOT analysis, product launch. For the period 2015-2020, this study provides the Fraud Detection and Prevention (FDP) Software sales, revenue and market share for each player covered in this report.

The major players covered in Fraud Detection and Prevention (FDP) Software are:

Riskified

Emailage

SAS Institute

Simility (PayPal)

GlobalVision Systems

MathWorks

Sift Science

Bolt Financial

NICE Actimize

Oversight Systems

Securonix

Kount

IPQualityScore

Cofense

MemberCheck

Fraud.net Inc

Gemalto

Table of Contents

1 Fraud Detection and Prevention (FDP) Software Market Overview

1.1 Product Overview and Scope of Fraud Detection and Prevention (FDP) Software

1.2 Classification of Fraud Detection and Prevention (FDP) Software by Type

1.2.1 Global Fraud Detection and Prevention (FDP) Software Revenue by Type: 2015 VS 2019 VS 2025

1.2.2 Global Fraud Detection and Prevention (FDP) Software Revenue Market Share by Type in 2019

1.2.3 Cloud Based

1.2.4 On-Premises

1.3 Global Fraud Detection and Prevention (FDP) Software Market by Application

1.3.1 Overview: Global Fraud Detection and Prevention (FDP) Software Revenue by Application: 2015 VS 2019 VS 2025

1.3.2 BFSI

1.3.3 Retail

1.3.4 Telecommunication

1.3.5 Government/Public Sector

1.3.6 Healthcare

1.3.7 Real Estate

1.3.8 Energy and Power

1.3.9 Manufacturing

1.3.10 Others

1.4 Global Fraud Detection and Prevention (FDP) Software Market by Regions

1.4.1 Global Fraud Detection and Prevention (FDP) Software Market Size by Regions: 2015 VS 2019 VS 2025

1.4.2 Global Market Size of Fraud Detection and Prevention (FDP) Software (2015-2025)

1.4.3 North America (USA, Canada and Mexico) Fraud Detection and Prevention (FDP) Software Status and Prospect (2015-2025)

1.4.4 Europe (Germany, France, UK, Russia and Italy) Fraud Detection and Prevention (FDP) Software Status and Prospect (2015-2025)

1.4.5 Asia-Pacific (China, Japan, Korea, India and Southeast Asia) Fraud Detection and Prevention (FDP) Software Status and Prospect (2015-2025)

1.4.6 South America (Brazil, Argentina, Colombia) Fraud Detection and Prevention (FDP) Software Status and Prospect (2015-2025)

1.4.7 Middle East & Africa (Saudi Arabia, UAE, Egypt, Nigeria and South Africa) Fraud Detection and Prevention (FDP) Software Status and Prospect (2015-2025)

2 Company Profiles

2.1 Riskified

2.1.1 Riskified Details

2.1.2 Riskified Major Business and Total Revenue (Financial Highlights) Analysis

2.1.3 Riskified SWOT Analysis

2.1.4 Riskified Product and Services

2.1.5 Riskified Fraud Detection and Prevention (FDP) Software Revenue, Gross Margin and Market Share (2018-2019)

2.2 Emailage

2.2.1 Emailage Details

2.2.2 Emailage Major Business and Total Revenue (Financial Highlights) Analysis

2.2.3 Emailage SWOT Analysis

2.2.4 Emailage Product and Services

2.2.5 Emailage Fraud Detection and Prevention (FDP) Software Revenue, Gross Margin and Market Share (2018-2019)

2.3 SAS Institute

2.3.1 SAS Institute Details

2.3.2 SAS Institute Major Business and Total Revenue (Financial Highlights) Analysis

2.3.3 SAS Institute SWOT Analysis

2.3.4 SAS Institute Product and Services

2.3.5 SAS Institute Fraud Detection and Prevention (FDP) Software Revenue, Gross Margin and Market Share (2018-2019)

2.4 Simility (PayPal)

2.4.1 Simility (PayPal) Details

2.4.2 Simility (PayPal) Major Business and Total Revenue (Financial Highlights) Analysis

2.4.3 Simility (PayPal) SWOT Analysis

2.4.4 Simility (PayPal) Product and Services

2.4.5 Simility (PayPal) Fraud Detection and Prevention (FDP) Software Revenue, Gross Margin and Market Share (2018-2019)

2.5 GlobalVision Systems

2.5.1 GlobalVision Systems Details

2.5.2 GlobalVision Systems Major Business and Total Revenue (Financial Highlights) Analysis

2.5.3 GlobalVision Systems SWOT Analysis

2.5.4 GlobalVision Systems Product and Services

2.5.5 GlobalVision Systems Fraud Detection and Prevention (FDP) Software Revenue, Gross Margin and Market Share (2018-2019)

2.6 MathWorks

2.6.1 MathWorks Details

2.6.2 MathWorks Major Business and Total Revenue (Financial Highlights) Analysis

2.6.3 MathWorks SWOT Analysis

2.6.4 MathWorks Product and Services

2.6.5 MathWorks Fraud Detection and Prevention (FDP) Software Revenue, Gross Margin and Market Share (2018-2019)

2.7 Sift Science

2.7.1 Sift Science Details

2.7.2 Sift Science Major Business and Total Revenue (Financial Highlights) Analysis

2.7.3 Sift Science SWOT Analysis

2.7.4 Sift Science Product and Services

2.7.5 Sift Science Fraud Detection and Prevention (FDP) Software Revenue, Gross Margin and Market Share (2018-2019)

2.8 Bolt Financial

2.8.1 Bolt Financial Details

2.8.2 Bolt Financial Major Business and Total Revenue (Financial Highlights) Analysis

2.8.3 Bolt Financial SWOT Analysis

2.8.4 Bolt Financial Product and Services

2.8.5 Bolt Financial Fraud Detection and Prevention (FDP) Software Revenue, Gross Margin and Market Share (2018-2019)

2.9 NICE Actimize

2.9.1 NICE Actimize Details

2.9.2 NICE Actimize Major Business and Total Revenue (Financial Highlights) Analysis

2.9.3 NICE Actimize SWOT Analysis

2.9.4 NICE Actimize Product and Services

2.9.5 NICE Actimize Fraud Detection and Prevention (FDP) Software Revenue, Gross Margin and Market Share (2018-2019)

2.10 Oversight Systems

2.10.1 Oversight Systems Details

2.10.2 Oversight Systems Major Business and Total Revenue (Financial Highlights) Analysis

2.10.3 Oversight Systems SWOT Analysis

2.10.4 Oversight Systems Product and Services

2.10.5 Oversight Systems Fraud Detection and Prevention (FDP) Software Revenue, Gross Margin and Market Share (2018-2019)

2.11 Securonix

2.11.1 Securonix Details

2.11.2 Securonix Major Business and Total Revenue (Financial Highlights) Analysis

2.11.3 Securonix SWOT Analysis

2.11.4 Securonix Product and Services

2.11.5 Securonix Fraud Detection and Prevention (FDP) Software Revenue, Gross Margin and Market Share (2018-2019)

2.12 Kount

2.12.1 Kount Details

2.12.2 Kount Major Business and Total Revenue (Financial Highlights) Analysis

2.12.3 Kount SWOT Analysis

2.12.4 Kount Product and Services

2.12.5 Kount Fraud Detection and Prevention (FDP) Software Revenue, Gross Margin and Market Share (2018-2019)

2.13 IPQualityScore

2.13.1 IPQualityScore Details

2.13.2 IPQualityScore Major Business and Total Revenue (Financial Highlights) Analysis

2.13.3 IPQualityScore SWOT Analysis

2.13.4 IPQualityScore Product and Services

2.13.5 IPQualityScore Fraud Detection and Prevention (FDP) Software Revenue, Gross Margin and Market Share (2018-2019)

2.14 Cofense

2.14.1 Cofense Details

2.14.2 Cofense Major Business and Total Revenue (Financial Highlights) Analysis

2.14.3 Cofense SWOT Analysis

2.14.4 Cofense Product and Services

2.14.5 Cofense Fraud Detection and Prevention (FDP) Software Revenue, Gross Margin and Market Share (2018-2019)

2.15 MemberCheck

2.15.1 MemberCheck Details

2.15.2 MemberCheck Major Business and Total Revenue (Financial Highlights) Analysis

2.15.3 MemberCheck SWOT Analysis

2.15.4 MemberCheck Product and Services

2.15.5 MemberCheck Fraud Detection and Prevention (FDP) Software Revenue, Gross Margin and Market Share (2018-2019)

2.16 Fraud.net Inc

2.16.1 Fraud.net Inc Details

2.16.2 Fraud.net Inc Major Business and Total Revenue (Financial Highlights) Analysis

2.16.3 Fraud.net Inc SWOT Analysis

2.16.4 Fraud.net Inc Product and Services

2.16.5 Fraud.net Inc Fraud Detection and Prevention (FDP) Software Revenue, Gross Margin and Market Share (2018-2019)

2.17 Gemalto

2.17.1 Gemalto Details

2.17.2 Gemalto Major Business and Total Revenue (Financial Highlights) Analysis

2.17.3 Gemalto SWOT Analysis

2.17.4 Gemalto Product and Services

2.17.5 Gemalto Fraud Detection and Prevention (FDP) Software Revenue, Gross Margin and Market Share (2018-2019)

3 Market Competition, by Players

3.1 Global Fraud Detection and Prevention (FDP) Software Revenue and Share by Players (2015-2020)

3.2 Market Concentration Rate

3.2.1 Top 5 Fraud Detection and Prevention (FDP) Software Players Market Share

3.2.2 Top 10 Fraud Detection and Prevention (FDP) Software Players Market Share

3.3 Market Competition Trend

4 Market Size by Regions

4.1 Global Fraud Detection and Prevention (FDP) Software Revenue and Market Share by Regions

4.2 North America Fraud Detection and Prevention (FDP) Software Revenue and Growth Rate (2015-2020)

4.3 Europe Fraud Detection and Prevention (FDP) Software Revenue and Growth Rate (2015-2020)

4.4 Asia-Pacific Fraud Detection and Prevention (FDP) Software Revenue and Growth Rate (2015-2020)

4.5 South America Fraud Detection and Prevention (FDP) Software Revenue and Growth Rate (2015-2020)

4.6 Middle East & Africa Fraud Detection and Prevention (FDP) Software Revenue and Growth Rate (2015-2020)

5 North America Fraud Detection and Prevention (FDP) Software Revenue by Countries

5.1 North America Fraud Detection and Prevention (FDP) Software Revenue by Countries (2015-2020)

5.2 USA Fraud Detection and Prevention (FDP) Software Revenue and Growth Rate (2015-2020)

5.3 Canada Fraud Detection and Prevention (FDP) Software Revenue and Growth Rate (2015-2020)

5.4 Mexico Fraud Detection and Prevention (FDP) Software Revenue and Growth Rate (2015-2020)

6 Europe Fraud Detection and Prevention (FDP) Software Revenue by Countries

6.1 Europe Fraud Detection and Prevention (FDP) Software Revenue by Countries (2015-2020)

6.2 Germany Fraud Detection and Prevention (FDP) Software Revenue and Growth Rate (2015-2020)

6.3 UK Fraud Detection and Prevention (FDP) Software Revenue and Growth Rate (2015-2020)

6.4 France Fraud Detection and Prevention (FDP) Software Revenue and Growth Rate (2015-2020)

6.5 Russia Fraud Detection and Prevention (FDP) Software Revenue and Growth Rate (2015-2020)

6.6 Italy Fraud Detection and Prevention (FDP) Software Revenue and Growth Rate (2015-2020)

7 Asia-Pacific Fraud Detection and Prevention (FDP) Software Revenue by Countries

7.1 Asia-Pacific Fraud Detection and Prevention (FDP) Software Revenue by Countries (2015-2020)

7.2 China Fraud Detection and Prevention (FDP) Software Revenue and Growth Rate (2015-2020)

7.3 Japan Fraud Detection and Prevention (FDP) Software Revenue and Growth Rate (2015-2020)

7.4 Korea Fraud Detection and Prevention (FDP) Software Revenue and Growth Rate (2015-2020)

7.5 India Fraud Detection and Prevention (FDP) Software Revenue and Growth Rate (2015-2020)

7.6 Southeast Asia Fraud Detection and Prevention (FDP) Software Revenue and Growth Rate (2015-2020)

8 South America Fraud Detection and Prevention (FDP) Software Revenue by Countries

8.1 South America Fraud Detection and Prevention (FDP) Software Revenue by Countries (2015-2020)

8.2 Brazil Fraud Detection and Prevention (FDP) Software Revenue and Growth Rate (2015-2020)

8.3 Argentina Fraud Detection and Prevention (FDP) Software Revenue and Growth Rate (2015-2020)

9 Middle East & Africa Revenue Fraud Detection and Prevention (FDP) Software by Countries

9.1 Middle East & Africa Fraud Detection and Prevention (FDP) Software Revenue by Countries (2015-2020)

9.2 Saudi Arabia Fraud Detection and Prevention (FDP) Software Revenue and Growth Rate (2015-2020)

9.3 UAE Fraud Detection and Prevention (FDP) Software Revenue and Growth Rate (2015-2020)

9.4 Egypt Fraud Detection and Prevention (FDP) Software Revenue and Growth Rate (2015-2020)

9.5 South Africa Fraud Detection and Prevention (FDP) Software Revenue and Growth Rate (2015-2020)

10 Market Size Segment by Type

10.1 Global Fraud Detection and Prevention (FDP) Software Revenue and Market Share by Type (2015-2020)

10.2 Global Fraud Detection and Prevention (FDP) Software Market Forecast by Type (2019-2024)

10.3 Cloud Based Revenue Growth Rate (2015-2025)

10.4 On-Premises Revenue Growth Rate (2015-2025)

11 Global Fraud Detection and Prevention (FDP) Software Market Segment by Application

11.1 Global Fraud Detection and Prevention (FDP) Software Revenue Market Share by Application (2015-2020)

11.2 Fraud Detection and Prevention (FDP) Software Market Forecast by Application (2019-2024)

11.3 BFSI Revenue Growth (2015-2020)

11.4 Retail Revenue Growth (2015-2020)

11.5 Telecommunication Revenue Growth (2015-2020)

11.6 Government/Public Sector Revenue Growth (2015-2020)

11.7 Healthcare Revenue Growth (2015-2020)

11.8 Real Estate Revenue Growth (2015-2020)

11.9 Energy and Power Revenue Growth (2015-2020)

11.10 Manufacturing Revenue Growth (2015-2020)

11.11 Others Revenue Growth (2015-2020)

12 Global Fraud Detection and Prevention (FDP) Software Market Size Forecast (2021-2025)

12.1 Global Fraud Detection and Prevention (FDP) Software Market Size Forecast (2021-2025)

12.2 Global Fraud Detection and Prevention (FDP) Software Market Forecast by Regions (2021-2025)

12.3 North America Fraud Detection and Prevention (FDP) Software Revenue Market Forecast (2021-2025)

12.4 Europe Fraud Detection and Prevention (FDP) Software Revenue Market Forecast (2021-2025)

12.5 Asia-Pacific Fraud Detection and Prevention (FDP) Software Revenue Market Forecast (2021-2025)

12.6 South America Fraud Detection and Prevention (FDP) Software Revenue Market Forecast (2021-2025)

12.7 Middle East & Africa Fraud Detection and Prevention (FDP) Software Revenue Market Forecast (2021-2025)

13 Research Findings and Conclusion

14 Appendix

14.1 Methodology

14.2 Data Source

14.3 Disclaimer

14.4 About US


List of Tables

Table 1. Global Fraud Detection and Prevention (FDP) Software Revenue (USD Million) by Type: 2015 VS 2019 VS 2025

Table 2. Breakdown of Fraud Detection and Prevention (FDP) Software by Company Type (Tier 1, Tier 2 and Tier 3)

Table 3. Global Fraud Detection and Prevention (FDP) Software Revenue (USD Million) by Application: 2015 VS 2019 VS 2025

Table 4. Global Market Fraud Detection and Prevention (FDP) Software Revenue (Million USD) Comparison by Regions 2015-2025

Table 5. Riskified Corporate Information, Location and Competitors

Table 6. Riskified Fraud Detection and Prevention (FDP) Software Major Business

Table 7. Riskified Fraud Detection and Prevention (FDP) Software Total Revenue (USD Million) (2017-2018)

Table 8. Riskified SWOT Analysis

Table 9. Riskified Fraud Detection and Prevention (FDP) Software Product and Solutions

Table 10. Riskified Fraud Detection and Prevention (FDP) Software Revenue (USD Million), Gross Margin and Market Share (2018-2019)

Table 11. Emailage Corporate Information, Location and Competitors

Table 12. Emailage Fraud Detection and Prevention (FDP) Software Major Business

Table 13. Emailage Fraud Detection and Prevention (FDP) Software Total Revenue (USD Million) (2018-2019)

Table 14. Emailage SWOT Analysis

Table 15. Emailage Fraud Detection and Prevention (FDP) Software Product and Solutions

Table 16. Emailage Fraud Detection and Prevention (FDP) Software Revenue (USD Million), Gross Margin and Market Share (2018-2019)

Table 17. SAS Institute Corporate Information, Location and Competitors

Table 18. SAS Institute Fraud Detection and Prevention (FDP) Software Major Business

Table 19. SAS Institute Fraud Detection and Prevention (FDP) Software Total Revenue (USD Million) (2017-2018)

Table 20. SAS Institute SWOT Analysis

Table 21. SAS Institute Fraud Detection and Prevention (FDP) Software Product and Solutions

Table 22. SAS Institute Fraud Detection and Prevention (FDP) Software Revenue (USD Million), Gross Margin and Market Share (2018-2019)

Table 23. Simility (PayPal) Corporate Information, Location and Competitors

Table 24. Simility (PayPal) Fraud Detection and Prevention (FDP) Software Major Business

Table 25. Simility (PayPal) Fraud Detection and Prevention (FDP) Software Total Revenue (USD Million) (2017-2018)

Table 26. Simility (PayPal) SWOT Analysis

Table 27. Simility (PayPal) Fraud Detection and Prevention (FDP) Software Product and Solutions

Table 28. Simility (PayPal) Fraud Detection and Prevention (FDP) Software Revenue (USD Million), Gross Margin and Market Share (2018-2019)

Table 29. GlobalVision Systems Corporate Information, Location and Competitors

Table 30. GlobalVision Systems Fraud Detection and Prevention (FDP) Software Major Business

Table 31. GlobalVision Systems Fraud Detection and Prevention (FDP) Software Total Revenue (USD Million) (2017-2018)

Table 32. GlobalVision Systems SWOT Analysis

Table 33. GlobalVision Systems Fraud Detection and Prevention (FDP) Software Product and Solutions

Table 34. GlobalVision Systems Fraud Detection and Prevention (FDP) Software Revenue (USD Million), Gross Margin and Market Share (2018-2019)

Table 35. MathWorks Corporate Information, Location and Competitors

Table 36. MathWorks Fraud Detection and Prevention (FDP) Software Major Business

Table 37. MathWorks Fraud Detection and Prevention (FDP) Software Total Revenue (USD Million) (2017-2018)

Table 38. MathWorks SWOT Analysis

Table 39. MathWorks Fraud Detection and Prevention (FDP) Software Product and Solutions

Table 40. MathWorks Fraud Detection and Prevention (FDP) Software Revenue (USD Million), Gross Margin and Market Share (2018-2019)

Table 41. Sift Science Corporate Information, Location and Competitors

Table 42. Sift Science Fraud Detection and Prevention (FDP) Software Major Business

Table 43. Sift Science Fraud Detection and Prevention (FDP) Software Total Revenue (USD Million) (2017-2018)

Table 44. Sift Science SWOT Analysis

Table 45. Sift Science Fraud Detection and Prevention (FDP) Software Product and Solutions

Table 46. Sift Science Fraud Detection and Prevention (FDP) Software Revenue (USD Million), Gross Margin and Market Share (2018-2019)

Table 47. Bolt Financial Corporate Information, Location and Competitors

Table 48. Bolt Financial Fraud Detection and Prevention (FDP) Software Major Business

Table 49. Bolt Financial Fraud Detection and Prevention (FDP) Software Total Revenue (USD Million) (2017-2018)

Table 50. Bolt Financial SWOT Analysis

Table 51. Bolt Financial Fraud Detection and Prevention (FDP) Software Product and Solutions

Table 52. Bolt Financial Fraud Detection and Prevention (FDP) Software Revenue (USD Million), Gross Margin and Market Share (2018-2019)

Table 53. NICE Actimize Corporate Information, Location and Competitors

Table 54. NICE Actimize Fraud Detection and Prevention (FDP) Software Major Business

Table 55. NICE Actimize Fraud Detection and Prevention (FDP) Software Total Revenue (USD Million) (2017-2018)

Table 56. NICE Actimize SWOT Analysis

Table 57. NICE Actimize Fraud Detection and Prevention (FDP) Software Product and Solutions

Table 58. NICE Actimize Fraud Detection and Prevention (FDP) Software Revenue (USD Million), Gross Margin and Market Share (2018-2019)

Table 59. Oversight Systems Corporate Information, Location and Competitors

Table 60. Oversight Systems Fraud Detection and Prevention (FDP) Software Major Business

Table 61. Oversight Systems Fraud Detection and Prevention (FDP) Software Total Revenue (USD Million) (2017-2018)

Table 62. Oversight Systems SWOT Analysis

Table 63. Oversight Systems Fraud Detection and Prevention (FDP) Software Product and Solutions

Table 64. Oversight Systems Fraud Detection and Prevention (FDP) Software Revenue (USD Million), Gross Margin and Market Share (2018-2019)

Table 65. Securonix Corporate Information, Location and Competitors

Table 66. Securonix Fraud Detection and Prevention (FDP) Software Major Business

Table 67. Securonix Fraud Detection and Prevention (FDP) Software Total Revenue (USD Million) (2017-2018)

Table 68. Securonix SWOT Analysis

Table 69. Securonix Fraud Detection and Prevention (FDP) Software Product and Solutions

Table 70. Securonix Fraud Detection and Prevention (FDP) Software Revenue (USD Million), Gross Margin and Market Share (2018-2019)

Table 71. Kount Corporate Information, Location and Competitors

Table 72. Kount Fraud Detection and Prevention (FDP) Software Major Business

Table 73. Kount Fraud Detection and Prevention (FDP) Software Total Revenue (USD Million) (2017-2018)

Table 74. Kount SWOT Analysis

Table 75. Kount Fraud Detection and Prevention (FDP) Software Product and Solutions

Table 76. Kount Fraud Detection and Prevention (FDP) Software Revenue (USD Million), Gross Margin and Market Share (2018-2019)

Table 77. IPQualityScore Corporate Information, Location and Competitors

Table 78. IPQualityScore Fraud Detection and Prevention (FDP) Software Major Business

Table 79. IPQualityScore Fraud Detection and Prevention (FDP) Software Total Revenue (USD Million) (2017-2018)

Table 80. IPQualityScore SWOT Analysis

Table 81. IPQualityScore Fraud Detection and Prevention (FDP) Software Product and Solutions

Table 82. IPQualityScore Fraud Detection and Prevention (FDP) Software Revenue (USD Million), Gross Margin and Market Share (2018-2019)

Table 83. Cofense Corporate Information, Location and Competitors

Table 84. Cofense Fraud Detection and Prevention (FDP) Software Major Business

Table 85. Cofense Fraud Detection and Prevention (FDP) Software Total Revenue (USD Million) (2017-2018)

Table 86. Cofense SWOT Analysis

Table 87. Cofense Fraud Detection and Prevention (FDP) Software Product and Solutions

Table 88. Cofense Fraud Detection and Prevention (FDP) Software Revenue (USD Million), Gross Margin and Market Share (2018-2019)

Table 89. MemberCheck Corporate Information, Location and Competitors

Table 90. MemberCheck Fraud Detection and Prevention (FDP) Software Major Business

Table 91. MemberCheck Fraud Detection and Prevention (FDP) Software Total Revenue (USD Million) (2017-2018)

Table 92. MemberCheck SWOT Analysis

Table 93. MemberCheck Fraud Detection and Prevention (FDP) Software Product and Solutions

Table 94. MemberCheck Fraud Detection and Prevention (FDP) Software Revenue (USD Million), Gross Margin and Market Share (2018-2019)

Table 95. Fraud.net Inc Corporate Information, Location and Competitors

Table 96. Fraud.net Inc Fraud Detection and Prevention (FDP) Software Major Business

Table 97. Fraud.net Inc Fraud Detection and Prevention (FDP) Software Total Revenue (USD Million) (2017-2018)

Table 98. Fraud.net Inc SWOT Analysis

Table 99. Fraud.net Inc Fraud Detection and Prevention (FDP) Software Product and Solutions

Table 100. Fraud.net Inc Fraud Detection and Prevention (FDP) Software Revenue (USD Million), Gross Margin and Market Share (2018-2019)

Table 101. Gemalto Corporate Information, Location and Competitors

Table 102. Gemalto Fraud Detection and Prevention (FDP) Software Major Business

Table 103. Gemalto Fraud Detection and Prevention (FDP) Software Total Revenue (USD Million) (2017-2018)

Table 104. Gemalto SWOT Analysis

Table 105. Gemalto Fraud Detection and Prevention (FDP) Software Product and Solutions

Table 106. Gemalto Fraud Detection and Prevention (FDP) Software Revenue (USD Million), Gross Margin and Market Share (2018-2019)

Table 107. Global Fraud Detection and Prevention (FDP) Software Revenue (Million USD) by Players (2015-2020)

Table 108. Global Fraud Detection and Prevention (FDP) Software Revenue Share by Players (2015-2020)

Table 109. Global Fraud Detection and Prevention (FDP) Software Revenue (Million USD) by Regions (2015-2020)

Table 110. Global Fraud Detection and Prevention (FDP) Software Revenue Market Share by Regions (2015-2020)

Table 111. North America Fraud Detection and Prevention (FDP) Software Revenue by Countries (2015-2020)

Table 112. North America Fraud Detection and Prevention (FDP) Software Revenue Market Share by Countries (2015-2020)

Table 113. Europe Fraud Detection and Prevention (FDP) Software Revenue (Million USD) by Countries (2015-2020)

Table 114. Asia-Pacific Fraud Detection and Prevention (FDP) Software Revenue (Million USD) by Countries (2015-2020)

Table 115. South America Fraud Detection and Prevention (FDP) Software Revenue by Countries (2015-2020)

Table 116. South America Fraud Detection and Prevention (FDP) Software Revenue Market Share by Countries (2015-2020)

Table 117. Middle East and Africa Fraud Detection and Prevention (FDP) Software Revenue (Million USD) by Countries (2015-2020)

Table 118. Middle East and Africa Fraud Detection and Prevention (FDP) Software Revenue Market Share by Countries (2015-2020)

Table 119. Global Fraud Detection and Prevention (FDP) Software Revenue (Million USD) by Type (2015-2020)

Table 120. Global Fraud Detection and Prevention (FDP) Software Revenue Share by Type (2015-2020)

Table 121. Global Fraud Detection and Prevention (FDP) Software Revenue Forecast by Type (2021-2025)

Table 122. Global Fraud Detection and Prevention (FDP) Software Revenue by Application (2015-2020)

Table 123. Global Fraud Detection and Prevention (FDP) Software Revenue Share by Application (2015-2020)

Table 124. Global Fraud Detection and Prevention (FDP) Software Revenue Forecast by Application (2021-2025)

Table 125. Global Fraud Detection and Prevention (FDP) Software Revenue (Million USD) Forecast by Regions (2021-2025)

List of Figures

Figure 1. Fraud Detection and Prevention (FDP) Software Picture

Figure 2. Global Fraud Detection and Prevention (FDP) Software Revenue Market Share by Type in 2019

Figure 3. Cloud Based Picture

Figure 4. On-Premises Picture

Figure 5. Fraud Detection and Prevention (FDP) Software Revenue Market Share by Application in 2019

Figure 6. BFSI Picture

Figure 7. Retail Picture

Figure 8. Telecommunication Picture

Figure 9. Government/Public Sector Picture

Figure 10. Healthcare Picture

Figure 11. Real Estate Picture

Figure 12. Energy and Power Picture

Figure 13. Manufacturing Picture

Figure 14. Others Picture

Figure 15. Global Fraud Detection and Prevention (FDP) Software Revenue (USD Million) and Growth Rate (2015-2025)

Figure 16. North America Fraud Detection and Prevention (FDP) Software Revenue (Million USD) and Growth Rate (2015-2025)

Figure 17. Europe Fraud Detection and Prevention (FDP) Software Revenue (Million USD) and Growth Rate (2015-2025)

Figure 18. Asia-Pacific Fraud Detection and Prevention (FDP) Software Revenue (Million USD) and Growth Rate (2015-2025)

Figure 19. South America Fraud Detection and Prevention (FDP) Software Revenue (Million USD) and Growth Rate (2015-2025)

Figure 20. Middle East and Africa Fraud Detection and Prevention (FDP) Software Revenue (Million USD) and Growth Rate (2015-2025)

Figure 21. Global Fraud Detection and Prevention (FDP) Software Revenue (Million USD) and Growth Rate (2015-2025)

Figure 22. Global Fraud Detection and Prevention (FDP) Software Revenue Share by Players in 2019

Figure 23. Global Top 5 Players Fraud Detection and Prevention (FDP) Software Revenue Market Share in 2019

Figure 24. Global Top 10 Players Fraud Detection and Prevention (FDP) Software Revenue Market Share in 2019

Figure 25. Key Players Market Share Trend

Figure 26. Global Fraud Detection and Prevention (FDP) Software Revenue (Million USD) and Growth Rate (%) (2015-2020)

Figure 27. Global Fraud Detection and Prevention (FDP) Software Revenue Market Share by Regions (2015-2020)

Figure 28. Global Fraud Detection and Prevention (FDP) Software Revenue Market Share by Regions in 2018

Figure 29. North America Fraud Detection and Prevention (FDP) Software Revenue and Growth Rate (2015-2020)

Figure 30. Europe Fraud Detection and Prevention (FDP) Software Revenue and Growth Rate (2015-2020)

Figure 31. Asia-Pacific Fraud Detection and Prevention (FDP) Software Revenue and Growth Rate (2015-2020)

Figure 32. South America Fraud Detection and Prevention (FDP) Software Revenue and Growth Rate (2015-2020)

Figure 33. Middle East and Africa Fraud Detection and Prevention (FDP) Software Revenue and Growth Rate (2015-2020)

Figure 34. North America Fraud Detection and Prevention (FDP) Software Revenue Market Share by Countries (2015-2020)

Figure 35. North America Fraud Detection and Prevention (FDP) Software Revenue Market Share by Countries in 2019

Figure 36. USA Fraud Detection and Prevention (FDP) Software Revenue and Growth Rate (2015-2020)

Figure 37. Canada Fraud Detection and Prevention (FDP) Software Revenue and Growth Rate (2015-2020)

Figure 38. Mexico Fraud Detection and Prevention (FDP) Software Revenue and Growth Rate (2015-2020)

Figure 39. Europe Fraud Detection and Prevention (FDP) Software Revenue Market Share by Countries (2015-2020)

Figure 40. Europe Fraud Detection and Prevention (FDP) Software Revenue Market Share by Countries in 2019

Figure 41. Germany Fraud Detection and Prevention (FDP) Software Revenue and Growth Rate (2015-2020)

Figure 42. UK Fraud Detection and Prevention (FDP) Software Revenue and Growth Rate (2015-2020)

Figure 43. France Fraud Detection and Prevention (FDP) Software Revenue and Growth Rate (2015-2020)

Figure 44. Russia Fraud Detection and Prevention (FDP) Software Revenue and Growth Rate (2015-2020)

Figure 45. Italy Fraud Detection and Prevention (FDP) Software Revenue and Growth Rate (2015-2020)

Figure 46. Asia-Pacific Fraud Detection and Prevention (FDP) Software Revenue Market Share by Countries (2015-2020)

Figure 47. Asia-Pacific Fraud Detection and Prevention (FDP) Software Revenue Market Share by Countries in 2019

Figure 48. China Fraud Detection and Prevention (FDP) Software Revenue and Growth Rate (2015-2020)

Figure 49. Japan Fraud Detection and Prevention (FDP) Software Revenue and Growth Rate (2015-2020)

Figure 50. Korea Fraud Detection and Prevention (FDP) Software Revenue and Growth Rate (2015-2020)

Figure 51. India Fraud Detection and Prevention (FDP) Software Revenue and Growth Rate (2015-2020)

Figure 52. Southeast Asia Fraud Detection and Prevention (FDP) Software Revenue and Growth Rate (2015-2020)

Figure 53. South America Fraud Detection and Prevention (FDP) Software Revenue Market Share by Countries (2015-2020)

Figure 54. South America Fraud Detection and Prevention (FDP) Software Revenue Market Share by Countries in 2019

Figure 55. Brazil Fraud Detection and Prevention (FDP) Software Revenue and Growth Rate (2015-2020)

Figure 56. Argentina Fraud Detection and Prevention (FDP) Software Revenue and Growth Rate (2015-2020)

Figure 57. Middle East and Africa Fraud Detection and Prevention (FDP) Software Revenue Market Share by Countries (2015-2020)

Figure 58. Middle East and Africa Fraud Detection and Prevention (FDP) Software Revenue Market Share by Countries in 2019

Figure 59. Saudi Arabia Fraud Detection and Prevention (FDP) Software Revenue and Growth Rate (2015-2020)

Figure 60. UAE Fraud Detection and Prevention (FDP) Software Revenue and Growth Rate (2015-2020)

Figure 61. Egypt Fraud Detection and Prevention (FDP) Software Revenue and Growth Rate (2015-2020)

Figure 62. South Africa Fraud Detection and Prevention (FDP) Software Revenue and Growth Rate (2015-2020)

Figure 63. Global Fraud Detection and Prevention (FDP) Software Revenue Share by Type (2015-2020)

Figure 64. Global Fraud Detection and Prevention (FDP) Software Revenue Share by Type in 2019

Figure 65. Global Fraud Detection and Prevention (FDP) Software Market Share Forecast by Type (2021-2025)

Figure 66. Global Cloud Based Revenue Growth Rate (2015-2020)

Figure 67. Global On-Premises Revenue Growth Rate (2015-2020)

Figure 68. Global Fraud Detection and Prevention (FDP) Software Revenue Share by Application (2015-2020)

Figure 69. Global Fraud Detection and Prevention (FDP) Software Revenue Share by Application in 2019

Figure 70. Global Fraud Detection and Prevention (FDP) Software Market Share Forecast by Application (2021-2025)

Figure 71. Global BFSI Revenue Growth Rate (2015-2020)

Figure 72. Global Retail Revenue Growth Rate (2015-2020)

Figure 73. Global Telecommunication Revenue Growth Rate (2015-2020)

Figure 74. Global Government/Public Sector Revenue Growth Rate (2015-2020)

Figure 75. Global Healthcare Revenue Growth Rate (2015-2020)

Figure 76. Global Real Estate Revenue Growth Rate (2015-2020)

Figure 77. Global Energy and Power Revenue Growth Rate (2015-2020)

Figure 78. Global Manufacturing Revenue Growth Rate (2015-2020)

Figure 79. Global Others Revenue Growth Rate (2015-2020)

Figure 80. Global Fraud Detection and Prevention (FDP) Software Revenue (Million USD) and Growth Rate Forecast (2021-2025)

Figure 81. Global Fraud Detection and Prevention (FDP) Software Revenue (Million USD) Forecast by Regions (2021-2025)

Figure 82. Global Fraud Detection and Prevention (FDP) Software Revenue Market Share Forecast by Regions (2021-2025)

Figure 83. North America Fraud Detection and Prevention (FDP) Software Revenue Market Forecast (2021-2025)

Figure 84. Europe Fraud Detection and Prevention (FDP) Software Revenue Market Forecast (2021-2025)

Figure 85. Asia-Pacific Fraud Detection and Prevention (FDP) Software Revenue Market Forecast (2021-2025)

Figure 86. South America Fraud Detection and Prevention (FDP) Software Revenue Market Forecast (2021-2025)

Figure 87. Middle East and Africa Fraud Detection and Prevention (FDP) Software Revenue Market Forecast (2021-2025)

Figure 88. Sales Channel: Direct Channel vs Indirect Channel

Research Methodology

Market research is a method of gathering, assessing and deducing data & information about a particular market. Market research is very crucial in these days. The techniques analyze about how a product/service can be offered to the market to its end-customers, observe the impact of that product/service based on the past customer experiences, and cater their needs and demands. Owing to the successful business ventures, accurate, relevant and thorough information is the base for all the organizations because market research report/study offers specific market related data & information about the industry growth prospects, perspective of the existing customers, and the overall market scenario prevailed in past, ongoing present and developing future. It allows the stakeholders and investors to determine the probability of a business before committing substantial resources to the venture. Market research helps in solving the marketing issues challenges that a business will most likely face.

Market research is valuable because of the following reasons:

  • Market research helps businesses strengthen a company’s position
  • Market research helps in minimizing the investment risks associated with the businesses in any industry vertical
  • Market research helps in identifying the potential threats and opportunities associated with the business industry
  • Market research aids in spotting the emerging trends and facilitates strategic planning in order to stay ahead in the competition

Our research report features both the aspects; qualitative and quantitative. Qualitative part provides insights about the market driving forces, potential opportunities, customer’s demands and requirement which in turn help the companies to come up with new strategies in order to survive in the long run competition. The quantitative segment offers the most credible information related to the industry. Based on the data gathering, we use to derive the market size and estimate their future growth prospects on the basis of global, region and country.

Our market research process involves with the four specific stages.

  • Data Collection
  • Data Synthesis
  • Market Deduction & Formulation
  • Data Screening & Validation

Data Collection: This stage of the market research process involves with the gathering and collecting of the market/industry related data from the sources. There are basically two types of research methods:

  • Primary Research: By conducting primary research, it involves with the two types of data gathering; exploratory and specific. Exploratory data is open-ended and helps us to define a particular problem involving surveys, and pilot study to the specific consumer group, knowing their needs and wants catering to the industry related product/service offering. Explanatory data gathering follows with the bit of unstructured way. Our analyst group leads the study by focusing on the key crowd, in this manner picking up bits of knowledge from them. In light of the points of view of the clients, this data is used to plan advertise techniques. In addition, showcase overviews causes us to comprehend the current scenario of the business. Specific data gathering on the hand, involves with the more structured and formal way. The primary research usually includes in telephonic conversations, E-mail collaborations and up close and personal meetings/interviews with the raw material suppliers, industrial wholesalers, and independent consultants/specialists. The interviews that we conduct offers important information on showcase size and industry development patterns. Our company likewise conducts interviews with the different business specialists so as to increase generally bits of knowledge of the business/showcase.
  • Secondary Research: The secondary research incorporates with the data gathering from the non-profit associations and organizations, for example, World bank, WHO, investor relations and their presentations, statistical databases, yearly(annual reports) reports, national government records, factual databases, websites, articles, white papers, press releases, blogs and others. From the annual report, we deduce an organization's income/revenue generation to comprehend the key product segment related to the market. We examine the organization sites and implement product mapping strategy which is significant for determining the segment revenue. In the product mapping technique, we choose and categorize the products offered by the companies catering to the industry specific market, derive the segment revenue for each of the organizations to get the market estimation. We also gather data & Information based on the supply and demand side of the value chain involved with the domain specific market. The supply side denotes the distributors, wholesalers, suppliers and the demand side denotes the end-consumers/customers of the value chain. The supply side of the market is analyzed by examining the product growth across industry in each of the region followed by its pricing analysis. The demand side is analyzed by the evaluating the penetration level and adoption rates of the product by referring to the historical/past data, examine the present usage and forecasting the future trends. 
  • Purchased Database: Our purchased data provides insights about the key market players/companies along with their financial analysis. Additionally, our data base also includes market related information. 
    • We also have the agreements with various reputed data providers, consultants and third party vendors who provide information which are not limited to:
      • Export & Import Data
      • Business Information related to trade and its statistics
      • Penetration level of a particular product/service based on geography mainly focusing on the unmet prerequisites of the customers.
  • In-house Library: Apart from these third-party sources, we have our in-house library of quantitative and qualitative data & information. Our in-house database includes market data for various industry and domains. These data are updated on regular basis as per the changing market scenario. Our library includes, internal audit reports, historic databases, archives and journal publications. Sometimes there are instances where there is no metadata or raw data available for any domain specific market. For those particular cases, we utilize our expertise to forecast and estimate the market size in order to generate comprehensive data sets. Our analyst team adopts a robust research technique in order to deduce the market size and its estimates:
  • Examining demographic along with psychographic segmentation for market evaluation
  • Analyzing the macro and micro-economic indicators for each demography
  • Evaluating the current industry trends popular in the market.

Data Synthesis: This stage includes the evaluation and assessment of all the data acquired from the primary and secondary research. It likewise includes in evaluating the information for any disparity watched while information gathering identified with the market. The data & information is gathered with consideration to the heterogeneity of sources. Scientific and statistical methods are implemented for synthesizing dissimilar information sets and provide the relevant data which is fundamental for formulating strategies. Our organization has broad involvement with information amalgamation where the information goes through different stages:

  • Information Screening: Information screening is the way toward examining information/data gathered from the sources for errors/mistakes and amending it before data integration process. The screening includes in looking at raw information, identifying and distinguishing mistakes and managing missing information. The reason for the information screening is to ensure information is effectively entered or not. Our organization utilizes objective and precise information screening grades through repetitive quality checks.
  • Data Integration: The data integration method involves with the incorporation of numerous information streams. The data streams is important so as to deliver investigate examines that give overall market scenario to the investors. These information streams originate from different research contemplates and our in house database. After the screening of the information, our analysts conduct efficient integration of the data streams, optimizing connections between integrated surveys and syndicated data sources. There are two research approaches that we follow so as to coordinate our information; top down methodology and bottom up methodology. 
    • Top-down analysis generally refers to using broad factors as a basis for decision making. The top-down approach helps in identifying the overall market scenario along with the external and internal factors effecting the market growth.
    • The bottom-up approach takes a completely different approach. Generally, the bottom-up approach focuses its analysis on micro attributes and specific characteristics of the domain specific market.

Market Formulation & Deduction: The last stage includes assigning the data & information in a suitable way in order to derive market size. Analyst reviews and domain based opinions based on holistic approach of market estimation combined with industry investigation additionally features a crucial role in this stage.

This stage includes with the finalization of the market size and numbers that we have gathered from primary and secondary research. With the data & information addition, we ensure that there is no gap in the market information. Market trend analysis is finished by our analysts by utilizing data extrapolation procedures, which give the most ideal figures to the market.

Data Validation: Validation is the most crucial step in the process. Validation & re-validation through scientifically designed technique and process that helps us finalize data-points to be used for final calculations. This stage also involves with the data triangulation process. Data triangulation generally implicates the cross validation and matching the data which has been collected from primary and secondary research methods.

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